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Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
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IR Frequency Region: Fingerprint Region01:03

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Related Experiment Video

Updated: Jul 5, 2026

Standardized Identification of Compound Structure in Tibetan Medicine Using Ion Trap Mass Spectrometry and Multiple-Stage Fragmentation Analysis
09:24

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Published on: March 17, 2023

[FTIR and classification study on the Chinese compound recipe].

Jing-Juan Wang1, Gui-Jun Zhang, Qun Zhou

  • 1School of Chinese Pharmacy, Beijing University of Chinese Medicine, Beijing 100102, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|May 16, 2008
PubMed
Summary

Fingerprint infrared spectrum analysis combined with clustering effectively classifies Xiaoerchoufeng powders. This method accurately distinguishes compound recipes, reaching 90% accuracy with blind samples.

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Area of Science:

  • Analytical Chemistry
  • Chemometrics
  • Traditional Chinese Medicine Analysis

Context:

  • Xiaoerchoufeng is a traditional Chinese medicine formulation.
  • Accurate identification of its compound recipes is crucial for quality control.
  • Subtle spectral differences exist between various compound recipes, posing analytical challenges.

Purpose:

  • To develop a rapid and accurate method for classifying Xiaoerchoufeng compound recipes.
  • To investigate the efficacy of fingerprint infrared spectrum analysis combined with clustering.
  • To assess the accuracy of this method in distinguishing formulations with minor ingredient variations.

Summary:

  • A model of main components was built, utilizing fingerprint infrared spectrum data.
  • Clustering analysis was applied to rapidly classify Xiaoerchoufeng powders.
  • The method demonstrated high accuracy (up to 90%) in distinguishing compound recipes, even with minimal spectral differences, when tested on blind samples.

Impact:

  • Provides a rapid and reliable method for quality control of Xiaoerchoufeng.
  • Highlights the potential of combining spectral fingerprinting and chemometrics for traditional medicine analysis.
  • Suggests that increasing sample size and characteristic samples can further enhance clustering accuracy.